Distributed Parallel Support Vector Machines In Strongly Connected Networks

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Distributed Parallel Support Vector Machines in Strongly ...

    https://ieeexplore.ieee.org/document/4470008/
    Abstract: In this paper, we propose a distributed parallel support vector machine (DPSVM) training mechanism in a configurable network environment for distributed data mining. The basic idea is to exchange support vectors among a strongly connected network (SCN) so that multiple servers may work concurrently on distributed data set with limited communication cost and fast training speed.Cited by: 118

(PDF) Distributed Parallel Support Vector Machines in ...

    https://www.researchgate.net/publication/3304164_Distributed_Parallel_Support_Vector_Machines_in_Strongly_Connected_Networks
    Distributed Parallel Support Vector Machines in Strongly Connected Networks Article (PDF Available) in IEEE Transactions on Neural Networks 19(7):1167 - 1178 · August 2008 with 198 Reads

Distributed Parallel Support Vector Machines in Strongly ...

    https://www.infona.pl/resource/bwmeta1.element.ieee-art-000004470008
    In this paper, we propose a distributed parallel support vector machine (DPSVM) training mechanism in a configurable network environment for distributed data mining. The basic idea is to exchange support vectors among a strongly connected network (SCN) so that multiple servers may work concurrently on distributed data set with limited communication cost and fast training speed. The …Cited by: 118

Consensus-based distributed linear support vector machines ...

    https://www.semanticscholar.org/paper/Consensus-based-distributed-linear-support-vector-Forero-Cano/802884ab11e81e978e53af5acd10d2fab8d61bef
    This paper develops algorithms to train linear support vector machines (SVMs) when training data are distributed across different nodes and their communication to a centralized node is prohibited due to, for example, communication overhead or privacy reasons. To accomplish this goal, the centralized linear SVM problem is cast as the solution of coupled decentralized convex optimization ...

Distributed support vector machine in master–slave mode ...

    https://www.sciencedirect.com/science/article/pii/S089360801830039X
    It is well known that the support vector machine (SVM) is an effective learning algorithm. ... Roychowdhury V., Vandenberghe L.Distributed parallel support vector machines in strongly connected networks. IEEE Transactions on Neural Networks, 19 (7) (2008), pp. 1167-1178 ... A decentralized training algorithm for Echo State Networks in ...Cited by: 1

Distributed semi-supervised support vector machines ...

    https://www.sciencedirect.com/science/article/pii/S0893608016300375
    The semi-supervised support vector machine (S 3 VM) is a well-known algorithm for performing semi-supervised inference under the large margin principle. In this paper, we are interested in the problem of training a S 3 VM when the labeled and unlabeled samples are distributed over a network of interconnected agents. In particular, the aim is to design a distributed training protocol over ...Cited by: 26

Consensus-based distributed linear support vector machines ...

    https://www.semanticscholar.org/paper/Consensus-based-distributed-linear-support-vector-Forero-Cano/2da029370083be80fc6ea968c5eaa03acc6c48fe
    This paper develops algorithms to train linear support vector machines (SVMs) when training data are distributed across different nodes and their communication to a centralized node is prohibited due to, for example, communication overhead or privacy reasons. To accomplish this goal, the centralized linear SVM problem is cast as the solution of coupled decentralized convex optimization ...

Distributed support vector machines: An overview Request PDF

    https://www.researchgate.net/publication/271497282_Distributed_support_vector_machines_An_overview
    As a remedy to this, distributed versions of support vector machines have been proposed which enable distributed learning and decision making over a network of computing machines [8]- [10]. In ...

A fast-convergence distributed support vector machine in ...

    http://journal.hep.com.cn/fee/EN/10.1007/s11460-011-0172-9
    A fast-convergence distributed support vector machine in small-scale strongly connected networks Hua XU( ), Yun WEN, Jixiong WANG State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China

A MapReduce Based Distributed Multi Class SVM Machine ...

    https://arxiv.org/pdf/1312.4108
    a new parallel SVM training and classification algorithm that each subset of a dataset is trained with SVM and then the classifiers are combined into a final single classifier function. Lu et al. [13] proposed strongly connected network based distributed support vector machine



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